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《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

Learn how to design, develop, deploy and iterate on production-grade ML applications.

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

深度学习经典、新论文逐段精读

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

? The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

? Discover the latest machine learning / AI courses on YouTube.

Oxford Deep NLP 2017 course